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A Collaborative Secure Localization Algorithm Based on Trust Model in Underwater Wireless Sensor Networks

机译:水下无线传感器网络中基于信任模型的协同安全定位算法

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摘要

Localization is one of the hottest research topics in Underwater Wireless Sensor Networks (UWSNs), since many important applications of UWSNs, e.g., event sensing, target tracking and monitoring, require location information of sensor nodes. Nowadays, a large number of localization algorithms have been proposed for UWSNs. How to improve location accuracy are well studied. However, few of them take location reliability or security into consideration. In this paper, we propose a Collaborative Secure Localization algorithm based on Trust model (CSLT) for UWSNs to ensure location security. Based on the trust model, the secure localization process can be divided into the following five sub-processes: trust evaluation of anchor nodes, initial localization of unknown nodes, trust evaluation of reference nodes, selection of reference node, and secondary localization of unknown node. Simulation results demonstrate that the proposed CSLT algorithm performs better than the compared related works in terms of location security, average localization accuracy and localization ratio.
机译:本地化是水下无线传感器网络(UWSN)中最热门的研究主题之一,因为UWSN的许多重要应用(例如事件感测,目标跟踪和监视)都需要传感器节点的位置信息。如今,已经针对UWSN提出了大量的定位算法。如何提高定位精度已得到很好的研究。但是,它们中很少有考虑位置可靠性或安全性的。在本文中,我们为UWSN提出了一种基于信任模型(CSLT)的协作安全定位算法,以确保位置安全。基于信任模型,安全定位过程可以分为以下五个子过程:锚节点的信任评估,未知节点的初始定位,参考节点的信任评估,参考节点的选择以及未知节点的二次定位。仿真结果表明,所提出的CSLT算法在位置安全性,平均定位精度和定位率方面均优于相关工作。

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